Wednesday, 10 July 2013

Ethanomics a great blogger who really seems to know about ChIP-seq

I was pointed to Ethan Ford's blog by a colleague and thought I'd recommend you take a look. Ethan is a post-doc in Ryal Lister's lab at The University of Western Australia.

The post that got me interested was one about homemade AMPure beads. The protocol was not written by Ethan, but modified by Brant Faircloth & Travis Glenn (from the methods section in: Cost-effective, high-throughput DNA sequencing libraries for multiplexed target capture) for a SeqCap workshop, referencing.


Nadin Rohland from Harvard Medical School, who was the lead author on the above paper, was also one of the researchers that discovered Africa has two species of elephant not one. And if anyone is interested in a genetics/philosophy story for kids this one about African elephants is great, it raises all sorts of questions for young kids (and adults) about prejudice, discrimination, and violence. The genetics is not so clear.

Ethans blog has some great resources for ChIP-seq afficionado's on his protocols page:

Saturday, 6 July 2013

The GenomeWeb effect

Dan Kobolt wrote a pair of articles about why he suggests you start blogging. In the first he talks about why you should, and perhaps why you would not, start blogging. I'd certainly encourage people to start, it's fun, free and the feedback can be great. Many people leave comments on this blog and I get emails from readers about blogs they'd like to see written. I'm also seeing blogs get +1's now, although I'm not really up to speed with that particular social networking.

The traffic I get to my blog is a real inspiration to keep writing. I regularly meet people who read my blog at conferences and other meetings, although no-one's bought me a beer because they liked it so much! I do keep an eye on my stats and occasionally get a massive spike in readers. Usually this is because GenomeWeb has covered one of my blog posts and the numbers of readers can reach over 1000 a day. I'm sure other bloggers see the same effect on their sites too.

I call this spike "the GenomeWeb effect".

The GenomeWeb effct in action on Core Genomics

Thanks GenomeWeb, I know you can't make them stay but at least you're sending them my way occasionally.

Friday, 5 July 2013

Genome England: 100,000 genomes here we come!

We've waited since Christmas to find out more and on the NHS’ 65th birthday we finally get to hear more about how the NHS is going to roll out clinical sequencing for patients in England. In December last year Prime Minister David Cameron announced the 100,000 genome project while visiting the CRUK Cambridge Research Institute. While here he visited my lab and started a MiSeq run, probably the only world-leader to sequence a genome so far.

 

Late last year Prime Minister David Cameron revealed that the personal DNA code (genome) of up to 100,000 patients or infections in patients will be sequenced over the next five years. You can find out more about the new "Genomics England" by emailing enquiries@genomicsengland.co.uk or by reading the Science Working Group report.

Thursday, 4 July 2013

Is there a future for semi-conductor sequencing?

The reason I wrote this post is a video I saw from Panasonic on Gizmondo, my new favourite website. However I'm going to leave the Panasonic bit to the end of this piece.

Ion Torrent set AGBT on fire in 2010 with the release of the PGM, the worlds first semi-conductor sequencer. They made such a big splash that Life Technologies bought them on the promise of delivering "greater than Moore's law" improvements. Moore's genome published in the Summer of 2011 proved how much they have come along.

The promise of semi-conductor sequencers has always been that they will scale in the same way as the processors in our Mac's and PC's. For now Illumina are pushing the envelope of what is possible in sequence space with HiSeq 2500 leading the charge, but what does the future look like?

Are we waiting for Nanopores to conquer all, or are semi-conductors about to take over the world?

Monday, 1 July 2013

What is happening to the price of sequencing?

I read the coverage of a CNN piece on GenomeWeb with interest; the article talks about how much costs are dropping, but alternative views were only recently aired on GenomeWeb by Neil Hall and Mick Watson, so who's right?

Back in May a commentary article by Neil Hall and a blog post by Mick Watson, both discussed the very recent stop in the precipitous fall of sequencing costs. We've become so used to the continued fall that I suggested, very much tongue-in-cheek, that grant funding agencies should only pay for half the sequencing requested. The cost stopped falling earlier this year and actually went up when Illumina increased their pricing.

If you take 2500 into the mix as well then per base sequencing costs look like they have jumped by almost 15%. Personally I see 2500 as another step on the road to $1000 genomes and think the real price continues to fall but I'll say no more until the end of this post and my comment probably deserves a proper post all of its own some other time.

Genome Biology genomicist smack-down: Neil Hall's article After the gold rush in Genome Biology really nails the past five to ten years of genomics research, he specifically notes that he's being provocative and a little hard on us (he's a confirmed genomicist himself) before stating "We... have been spoiled. We have been real-estate agents working in a housing boom; bankers trading in debt. We have not been made to work; worse still, there has been very little incentive to think." Ouch! But he has a point. I've seen colleagues move on from the Institute where I work to good Universities and facing up to the realities of having to 'think' very hard when resources are more limited.

Almost anyone can discover something given unlimited resources. It would be interesting to attach a £ or $ sign to every research article and then measure output in more clearly economic terms. Which high-impact papers were the best value for money?

How cost-effective is "Collaborazilla" and his/her like?

Mick Watson on his blog goes over, under and reinterprets the NHGRI graph. He plots a new graph showing how price has changed when comparing time-points on the NHGRI graph. On it he notes that apart from the introduction of the GA, at almost every other time-point there has been only a modest drop in costs, and that over time the graph shows an upward trend.

The history behind the numbers: The graph everyone points to, and which Mick reinterprets, comes from the NHGRI and it shows a pretty steep fall from mid-2007 till early-2010. These were the "Solexa-years" from their 1G, through the Illumina acquisition and GAI, GAII, GAIIx (bananas and iPAR anyone) to HiSeq. The drop in costs were brought about by real technological improvements and as a user all the way through this drop it is easy to remember the upgrades, for all the good; as well as the pain some of them inflicted on my lab!

But the drop slowed dramatically in 2010 when HiSeq came out. Genome centres traded their entire GAIIx stock and suddenly had over-supply of capacity. The new instruments spat out billions of bases and initially users had problems filling all the available lanes. Then the "big-science" projects really got started and the data has flooded out ever since. If it weren't for $1000 genome noises by Life Technologies I doubt Illumina would have given us the 600G upgrades quite as quickly, we'd more likely have seen an Apple-esque dribbling out of technology gains over the past two years.

So what does CNN say: This is a news article for a news organisation and is aimed at the general public. The author Eilene Zimmerman at CNN Money is right in pointing out how much things have changed since James Watson's genome was sequenced in 2007 for an estimated $1million, and today you can sequence (but not analyse or interpret) a genome (30x) for about $3000 or $4000. But her commentary and interviewees give an all too rosy picture and I'm not sure anyone actually looked at the NHGRI graph judging by the comment "since 2007, the cost of genome sequencing has been in free-fall". Free-fall to me means a sustained downward trajectory, the NHGRI graph is perhaps showing the moment we reach terminal velocity.

The article also covers the impact of the Ion-Torrent technology and quotes Jonathan Rothberg saying "In three months, we'll be able to do one entire human genome for $1,000", I don't know of a single PGM or Proton customer who thinks this is close to reality. PGM has effectively stopped developing past the 318 chip and the Proton is a long-way from $1000 genomes. And of course ONT gets a look in as well although Eric Topol notes they have "significant problems with accuracy". Have we found an early-access customer perhaps?

But I agree with the articles hopes for genetic testing by sequencing and that the costs of these should drop to the level where health-care providers can roll them out nationwide. The costs of NGS are still coming down and are likely to drop for  longer. I guess we need to spend more of our time and money on making sure we can execute with NGS tests in the clinic.

So what does the future hold? I'll be honest with an "I don't know" to start with. I am one of those bloggers that Neil refers to, excited by the prospect of new sequencing technologies and disappointed that ONT have run into difficulties. But the future is here in all its black and white glory. I'd say its HiSeq 2500.

Disclaimer: I run a lab that uses a lot of Illumina technology, but I don't have a 2500, and I'm not expecting Illumina will give me one however much I say it is the future!

But I do think HiSeq 2500 is the way forward, or at least part of the equation, because the costs of sequencing on this instrument could be lower in real-terms than anything we've seen so far. With the new patterned flowcells only six months away data volumes are going to jump up again. And the fact that HiSeq 2500 rapid run mode generates more data than standard mode in a given time-frame means the amortisation of capital purchase and service contract costs drop and these are a huge chuck of our real costs. Oh, and let's not forget the possibility of 1 billion 1000bp reads!

PS: Neil acknowledged comments or tweets as one of the reasons for his commentary article. I'd do the same and say this has been a topic for discussion since the middle of last year when genomicists get together. I'm guessing we'll still be talking about it for another year or two.

Thursday, 27 June 2013

Gen-enchiladas anyone?

There have been some interesting articles on GM recently and I couldn’t help but see the opportunity for a genetics-sounding recipe idea; hence the Gen-enchilada! This brings together two of my favourite things; food and genomics (sort of) so here’s a recipe first and some links to GM projects that might appear in your shopping basket soon.

Friday, 21 June 2013

A better way to analysis of tumour heterogenity

Ben Raphael's lab at Brown University have just published THetA for tumour heterogeneity analysis; it's a great paper so download it and have a look yourselves.

Solid tumours have been shown to be highly heterogeneous and that this can underlie drug resistance and eventual relapse in patients. Individual tumours are admixtures of different tumour-cell sub-populations and NGS data come from this mix. The THetA paper introduces a method to infer the starting population of distinct tumour-cells.

Wednesday, 19 June 2013

Clive Brown and MinIon spotted at the cinema

So the drama is finally over and now we can expect great things from the company developing the worlds best nanopore sequencer, Illumina's Jat Flatley confirms they have one in development!

And at the same time MinIon is about to make it's comeback in the latest sequel from Universal...


Saturday, 15 June 2013

5hmC on Illumina 450k's: analysis without breaking the bank?

Epigenetics is one of the most exciting areas of research and promises to impact all sorts of biological systems. DNA methylation has recently been shown to come in methylcytosine (mC) and 5-hydroxymethylcytosine (5hmC) flavours. Usually analysis of mC is carried out using bisulfite conversion or enzymatic digestion. The gold standard is probably bisulfite sequncing and a few groups have made significant advances using Bis-seq methods on Human genomes.


Friday, 14 June 2013

23and Meow

Consumer genomics is becoming easier and easier to access and a colleague recently contacted me about my experiences as some friends were planning to get tested. When I got "23andMe'd" I learnt some new stuff about me and my DNA, and I'd like to learn more about the genealogical side but have not attempted to get my data into one of the better sites for this.

But how far might we go with consumer genomics? Believe it or not there is a company offering a service to identify which pet crapped on your lawn!